Our Hugging Face dataset contains a series of articles and summaries for training the model on and passing them into the prompt using variables that map to the column names in our dataset (e.g., {{article}} and {{summary}}).
This time we will update the prompt using fields from our linked dataset. To do this, type {{ to bring up a list of selectable fields from the dataset.
Supply the model with the following prompt:
Instruction
Summarize each "Article:" into a series of bullet points. Each bullet point must be 30 words or less. Put each bullet point on a new line. Respond only with the bullet points about the article.
Examples
Below are examples:
Article: {{article}}
Summary: {{summary}}
Select Generate to see the output generated by the model based on the prompt you provided.
By providing examples and linking a dataset, we can see the new output contains the original linked dataset with new columns including a column where the model has summarized each article according to our instructions.
The model is performing reasonably well and so we won’t need to fine-tune it.
